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Release SkillAdaptor on Hugging Face #1

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@NielsRogge

Hi @231sm 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2606.01311.
The paper page lets people discuss about your paper and lets them find artifacts about it (your code or skill collections for instance), and you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

I saw in the paper and on your GitHub repository (https://github.com/zjunlp/SkillAdaptor) that you are planning to release the code soon. It would be great to make the implementation and any associated artifacts (like the generated skill libraries or agent trajectories) available on the 🤗 hub to improve their discoverability and visibility.

Uploading datasets/artifacts

It would be awesome to make the skill libraries or collected trajectories available as datasets on 🤗 , so that people can easily explore or use them:

from datasets import load_dataset

dataset = load_dataset("zjunlp/SkillAdaptor-Skills")

Besides that, there's the dataset viewer which allows people to quickly explore the skill records directly in the browser.

You can also host your code on the Hub and even build a demo for your agent framework on Spaces; we can provide you a ZeroGPU grant, which gives you free GPU-backed compute for eligible demo Spaces.

Let me know if you're interested or need any guidance!

Kind regards,

Niels
ML Engineer @ HF 🤗

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